Public infrastructure and housing prices: An application of geographically weighted regression within the context of hedonic prices

The analysis of externalities in real state has been matter of study during the past few years. In this paper we use both conventional and spatial econometric model, as well as geographically weighted regression models, to measure the effect of the San Javier Metro Station (in Medellín, Colombia) on...

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Autores:
Duque, Juan Carlos
Velásquez Ceballos, Hermilson
Agudelo, Jorge
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
spa
OAI Identifier:
oai:repository.eafit.edu.co:10784/15499
Acceso en línea:
http://hdl.handle.net/10784/15499
Palabra clave:
C21
O18
R32
Real state
GWR
Geographically Weighted Regression
Hedonic prices
Metro station
Sector Inmobiliario
GWR
Regresión Geográficamente Ponderada
Metro de Medellín
Precios hedónicos
Rights
License
Copyright (c) 2011 Juan Carlos Duque, Hermilson Velásquez Ceballos, Jorge Agudelo
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spelling Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees28/10/20112020-01-31T18:34:25Z28/10/20112020-01-31T18:34:25Z2462-81071657-4206http://hdl.handle.net/10784/15499The analysis of externalities in real state has been matter of study during the past few years. In this paper we use both conventional and spatial econometric model, as well as geographically weighted regression models, to measure the effect of the San Javier Metro Station (in Medellín, Colombia) on the housing prices of the surrounding area. The main finding of this study is that the metro station has a positive impact on the prices of houses located within a radius of 600 meter from the station. However, the railroad track accessing the station has a negative impact on housing prices located nearby.El análisis de las externalidades en el sector inmobiliario ha atraído desde hace varios años la atención de los investigadores suscitando una gran cantidad de estudios al respecto. En este artículo se utilizan modelos econométricos tradicionales, de la econometría espacial y de regresión ponderada geográficamente, para analizar y comparar a la luz de estos modelos la influencia que tiene en los precios de las viviendas la existencia de una estación del metro en San Javier ubicada en el centro occidente de la ciudad de Medellín. El principal hallazgo en este estudio es que la presencia de la estación del metro tiene una influencia positiva en los precios de las viviendas localizadas en un radio de 600 metros alrededor de la estación; sin embargo, las viviendas cercanas a las vías de acceso del metro a la estación presentan un importante decremento en sus precios.application/pdfspaUniversidad EAFITEcos de Economía, Vol 15, No 33 (2011)http://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/480/453http://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/480/453Copyright (c) 2011 Juan Carlos Duque, Hermilson Velásquez Ceballos, Jorge AgudeloAcceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITEcos de Economía, Vol 15, No 33 (2011)C21O18R32Real stateGWRGeographically Weighted RegressionHedonic pricesMetro stationSector InmobiliarioGWRRegresión Geográficamente PonderadaMetro de MedellínPrecios hedónicosPublic infrastructure and housing prices: An application of geographically weighted regression within the context of hedonic pricesInfraestructura pública y precios de vivienda: una aplicación de regresión geográficamente ponderada en el contexto de precios hedónicosarticleinfo:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Duque, Juan CarlosVelásquez Ceballos, HermilsonAgudelo, JorgeUniversidad EAFITEcos de Economia: A Latin American journal of applied economics153399122Ecos de EconomíaTHUMBNAILminaitura-ecos_Mesa de trabajo 1.jpgminaitura-ecos_Mesa de trabajo 1.jpgimage/jpeg251248https://repository.eafit.edu.co/bitstreams/98a5c48a-d8c5-4f4c-bccf-63bd99ea9f9c/download9b15d674b076c1793a0bc25cebb1bcefMD52ORIGINALdocument - 2020-03-11T105431.848.pdfdocument - 2020-03-11T105431.848.pdfTexto completo PDFapplication/pdf3368942https://repository.eafit.edu.co/bitstreams/d480ac81-2a34-4a75-988c-db6555e0b57e/download1c8a1feccb32dc235642afd2b89e394fMD51articulo.htmlarticulo.htmlTexto completo HTMLtext/html376https://repository.eafit.edu.co/bitstreams/5f56f059-fc59-4691-af47-3195c2e2df66/downloada3fc3df890f4723f1fbad7c4636349caMD5310784/15499oai:repository.eafit.edu.co:10784/154992020-03-18 13:03:02.277open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co
dc.title.eng.fl_str_mv Public infrastructure and housing prices: An application of geographically weighted regression within the context of hedonic prices
dc.title.spa.fl_str_mv Infraestructura pública y precios de vivienda: una aplicación de regresión geográficamente ponderada en el contexto de precios hedónicos
title Public infrastructure and housing prices: An application of geographically weighted regression within the context of hedonic prices
spellingShingle Public infrastructure and housing prices: An application of geographically weighted regression within the context of hedonic prices
C21
O18
R32
Real state
GWR
Geographically Weighted Regression
Hedonic prices
Metro station
Sector Inmobiliario
GWR
Regresión Geográficamente Ponderada
Metro de Medellín
Precios hedónicos
title_short Public infrastructure and housing prices: An application of geographically weighted regression within the context of hedonic prices
title_full Public infrastructure and housing prices: An application of geographically weighted regression within the context of hedonic prices
title_fullStr Public infrastructure and housing prices: An application of geographically weighted regression within the context of hedonic prices
title_full_unstemmed Public infrastructure and housing prices: An application of geographically weighted regression within the context of hedonic prices
title_sort Public infrastructure and housing prices: An application of geographically weighted regression within the context of hedonic prices
dc.creator.fl_str_mv Duque, Juan Carlos
Velásquez Ceballos, Hermilson
Agudelo, Jorge
dc.contributor.author.spa.fl_str_mv Duque, Juan Carlos
Velásquez Ceballos, Hermilson
Agudelo, Jorge
dc.contributor.affiliation.spa.fl_str_mv Universidad EAFIT
dc.subject.none.fl_str_mv C21
O18
R32
topic C21
O18
R32
Real state
GWR
Geographically Weighted Regression
Hedonic prices
Metro station
Sector Inmobiliario
GWR
Regresión Geográficamente Ponderada
Metro de Medellín
Precios hedónicos
dc.subject.keyword.eng.fl_str_mv Real state
GWR
Geographically Weighted Regression
Hedonic prices
Metro station
dc.subject.keyword.spa.fl_str_mv Sector Inmobiliario
GWR
Regresión Geográficamente Ponderada
Metro de Medellín
Precios hedónicos
description The analysis of externalities in real state has been matter of study during the past few years. In this paper we use both conventional and spatial econometric model, as well as geographically weighted regression models, to measure the effect of the San Javier Metro Station (in Medellín, Colombia) on the housing prices of the surrounding area. The main finding of this study is that the metro station has a positive impact on the prices of houses located within a radius of 600 meter from the station. However, the railroad track accessing the station has a negative impact on housing prices located nearby.
publishDate 2020
dc.date.available.none.fl_str_mv 2020-01-31T18:34:25Z
dc.date.accessioned.none.fl_str_mv 2020-01-31T18:34:25Z
dc.date.issued.none.fl_str_mv 28/10/2011
dc.date.none.fl_str_mv 28/10/2011
dc.type.eng.fl_str_mv article
info:eu-repo/semantics/article
publishedVersion
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dc.identifier.issn.none.fl_str_mv 2462-8107
1657-4206
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/15499
identifier_str_mv 2462-8107
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url http://hdl.handle.net/10784/15499
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.ispartof.none.fl_str_mv Ecos de Economía, Vol 15, No 33 (2011)
dc.relation.isversionof.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/480/453
dc.relation.uri.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/480/453
dc.rights.eng.fl_str_mv Copyright (c) 2011 Juan Carlos Duque, Hermilson Velásquez Ceballos, Jorge Agudelo
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Acceso abierto
rights_invalid_str_mv Copyright (c) 2011 Juan Carlos Duque, Hermilson Velásquez Ceballos, Jorge Agudelo
Acceso abierto
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.coverage.spatial.eng.fl_str_mv Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.source.none.fl_str_mv instname:Universidad EAFIT
reponame:Repositorio Institucional Universidad EAFIT
dc.source.spa.fl_str_mv Ecos de Economía, Vol 15, No 33 (2011)
instname_str Universidad EAFIT
institution Universidad EAFIT
reponame_str Repositorio Institucional Universidad EAFIT
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